I'm using Infinity datasource plugin for showing stat values. I have two queries, both of them have similar json response, but values are different. In my case I'm getting root values like that: $.total.
Here's the result:
I want to get sum of those queries results and hide these values behind the sum, so I added transform "Add field from calculation", binary operation.
But nothing happen, values on dashboard does not change. The only way sum is working - when I choose same field left and right of plus sign - it sums "wrong assignee + wrong assignee" or "total issues + total issues" correct. If I change one of them to get real sum between different values - nothing. Maybe I'm doing something wrong?
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I’m running into a problem that might be self inflicted but I’m a noob and I’m still stumbling thru this dashboard I inherited.
We are using Grafana 8.1.5. I inherited a dashboard with a panel that is giving this error message:
“failed to convert long to wide series when converting from dataframe: can not convert to wide series, input has null time values” error.
I think I know the cause but I don’t know how to fix it. The data source is from a MySQL database. When we select “All” under the dropdown “Org”, we don’t get this error and we get 8 rows back and are expecting 8 rows.
When we select one org (in this example “Data Protection”) under the dropdown “Org”, we do get the error and we get 5 rows back. I think because 3 queries return 0 rows, we are getting this error.
Each pie slice has its own SQL query to get data. For the queries that return 0 rows, I tried selecting some of the “Standard options” to fix it but it doesn’t seem to work. I tried to play around with the Min, Max, and “No Value” settings and enter values larger than 0 but I still get this error. The initial values for Min and Max were "auto" and "No Value" was blank but the screenshot is when I left them as "1" while I was messing with them.
What do I need to do to make the message go away? Is the message benign and I shouldn’t worry about it since it looks like we’re still printing out the pie chart?
Write SQL, which returns record with zero value instead of empty result. In theory zero value, won't be visible in the pie chart and you will have still record for dataframe transformation, so that one won't be failing.
So I accidentally stumbled across the answer. What happened is the query returned data formatted as "Time Series" instead of "Table". Because some of the data didn't have values for the specified time, the time value was Null.
Since it was Null, the chart returned this error message. The fix was to select "Table" as the format. Then the chart won't care about the time value being Null and the missing data appears as 0 in the legend and we don't get the error message anymore.
I am having trouble showing the correct totals in my tableau worksheet.
I have supervisors that are part of specific zones that need to complete a certain number of tests in different categories. For example, supervisor 15716 must complete 8 tests in category 1. I need to show the target, which is a number stored in the database and show the actual number of tests in that category that have been completed within a date range. I have it working, but Im not sure if I did it correctly because I can not show any totals.
System target - number stored in database
CountOfSheetID - calculated field
Percent Compliant - calculated field
Try this approach -
First define a calculated field called [Within Date Range?] as
[Date] >= [MyStartDate] AND [Date] <= [LastSelectedDayOfMonth]
and put that new field on the filter shelf, only including data where [Within Date Range?] is True. (You could also just filter the [Date] field if that is flexible enough for you)
The you don't need the CountofSheetId calculated field at all. If you want to know how many records have a non-null value for [SheetID] within your date range, you can simply drop [SheetID] on a shelf and choose to treat it as Measure with the aggregation function COUNT()
Then just build your visualization to show the counts you want (not percentages, the actual counts)
Finally, you can convert counts into Percentages by clicking on the pills for your Measures and choosing Percentage under Quick Table Calcs. You'll want to experiment with the "Compute Using" setting to tell Tableau how to compute your percentages -- i.e. define percentage of "what".
Percentages are implemented as table calcs in Tableau. Read the help to understand table calcs, especially the description of partitioning and addressing.
I have a spreadsheet of support case management data. I am working with this in Tableau. Each line in the spreadsheet is an individual case. Each case has, among much else, a support agent name and a Yes or No of whether the case work was started within 12 hours. I'd like to know, for each agent, what percentage of the time they started the case work within 12 hours. So, if Bob has 2 "No" and 8 "Yes", he should have 8 / (2 + 8) = 80%.
My attempt at this was to create 2 sets. One is the set of "Yes, started within 12 hours" (those that have "yes" in that field, and one that is the set of "No, not started within 12 hours", the complement to the other set. Silly me, I thought I could do something like COUNT(yeses) / COUNT(nos). Nope, big red failure. So what is the right way to do this?
It would help immensely to please respond as if this is the first thing I have ever done in Tableau. It is. I have learned a lot in this project, but only in comparison to the nothing I knew previously. Please also let me know if I've left out something necessary to answer this. I've tried to be complete but, well, am noob...
If it clarifies anything, here's a poor Excel mockup of data and the effect I'm looking for:
Yes, this is possible and easy in Tableau, but first a couple of points.
The reason your attempt to use COUNT() did not work is that COUNT() does not operate the way you, and that 99% of the people on the planet, expect. COUNT([some expression]) returns the number of records that have a non-null value, any value, for [some expression]. The name comes from SQL relational databases.
The calculations would be just a bit simpler if your third column took the boolean values True or False instead of the string values “Yes” or “No”. (In which case you could drop ‘= “Yes”’ from the formula below)
So two ways to do your calculation are:
Directly with an aggregate calculation which can get the right result, but is hard coded for this case, such as:
SUM(INT([Started within 24 hrs?] = “Yes”)) / SUM([Number of Records])
Using a table calc - which in this case is a bit easier and more flexible.
First, Build a table or viz in Tableau showing SUM([Number of Records]) with the dimensions you care about in play. Say with [Name] on Rows, [Started within 24 hrs?] on Columns and SUM([Number of Records] on Text. Second, Right click on your measure SUM([Number of Records]) and choose Percentage of Total from the Quick Table Calc menu. Finally, use that same menu to adjust Compute Using to specify how you want the percentages computed - in this case, using [Started within 24 hrs?]
If you only want to show some of the data, right click on the column header for the values you wish to hide and choose Hide.
The type conversion function INT() converts True to 1 and False to 0.
You could create another column that converts the Yes's into 1's, and the No's into 0's. Sum up all the 1's and divide it by the total and that's your percentage.
edit: the new column would look something like
=IF(C3="Yes",1,0)
in other words, if Cⁿ is "Yes", then 1, else 0
I have a calculation and it outputs multiple values. Then I am creating a table on those values. For example, in below data my formula is
if data is 1 then calculation is `one`
if data is 2 then calculation is `two`
if data is 3 then calculation is `three`
as three doesn't really appear in the output, when I create a table, three is not displayed. Is there any way to display it?
I tried table layout >> show empty rows and columns and it didn't work
data calculation
1 one
2 two
Tableau discovers the possible values for a dimension field dynamically from the query results.
If ‘three’ does not appear in your data, then how do you expect Tableau to know to make a column header for that non existent, but potential, value? It can’t read your mind.
This situation does occur often though - perhaps you want row or column headers to remain stable, even when you change filters in a way that causes some to no longer appear in the query results.
There are a few ways you can force Tableau to pad ** or **complete a domain:
one solution is to pad your data to make sure each value for your dimension field appears in at least one data row.
You can often do this easily by using a union to append some extra rows to your original data. You can often add padding rows that don’t impact any results by leaving all your Measure columns null since nulls are ignored by aggregation functions
Another common solution that is a bit more effort is to make what is known as scaffolding data source that is not much more than a list of your dimension members. You can then use that data source as a primary data source with data blending, making your original data source secondary.
There are two situations where Tableau can detect the absence of data and leave space for it in the visualization automatically
for numeric types, you can create a bin field that will automatically pad for missing bins
similarly, date fields can show missing values because, like bins, Tableau can tell when a month doesn’t appear in the data and leave room for it in the view
I have a dimension I am showing in a text table that can have one of 3 possibilities "A", "B", or "C" and I want at all times to have A, B and C shown in a text table even if one of them has 0 occurrences. The issue is that I am filtering this based on date, so it is possible that for example B may not exist, but I still want to have a 0 printed for B.
I have gone to Analysis -> Table layout -> show empty rows which will show "B", but in the count display it shows a blank. How can I get it to display a 0?
This problem is very famous among tableau users and I still did not see a generic tableau-only solution. All proper solutions start with injecting rows to your data which I assume you do not want this.
Below method will only work if you have a Date Dimension on the measure and no-data dates are not completely filtered-out; so you will be seeing zeros even though that date has no data as you may see on below screenshot.
When you filter out the no-data dates, unfortunately you will keep on seeing NULLs.
If you are using the SUM of Number of Records as your occurrences, then you may create a calculated field as below and use it in your pane:
ZN(LOOKUP(SUM([Number of Records]),0))
You can leave the Default Table Calculation as Automatic so the Results are computed along Table (accross).